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Federated learning of predictive models from federated Electronic Health Records
BACKGROUND: In an era of “big data,” computationally efficient and privacy-aware solutions for large-scale machine learning problems become crucial, especially in the healthcare domain, where large amounts of data are stored in different locations and owned by different entities. Past research has b...
Gorde:
| Argitaratua izan da: | Int J Med Inform |
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| Egile Nagusiak: | , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2018
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5836813/ https://ncbi.nlm.nih.gov/pubmed/29500022 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijmedinf.2018.01.007 |
| Etiketak: |
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